Prognostic implications of the expression levels of different immunoglobulin heavy chain-encoding RNAs in early breast cancer
NPJ BREAST CANCER
Authors: Larsson, Christer; Ehinger, Anna; Winslow, Sofia; Leandersson, Karin; Klintman, Marie; Dahl, Ludvig; Vallon-Christersson, Johan; Hakkinen, Jari; Hegardt, Cecilia; Manjer, Jonas; Saal, Lao; Ryden, Lisa; Malmberg, Martin; Borg, Ake; Loman, Niklas
Abstract
The extent and composition of the immune response in a breast cancer is one important prognostic factor for the disease. The aim of the current work was to refine the analysis of the humoral component of an immune response in breast tumors by quantifying mRNA expression of different immunoglobulin classes and study their association with prognosis. We used RNA-Seq data from two local population-based breast cancer cohorts to determine the expression of IGJ and immunoglobulin heavy (IGH) chain-encoding RNAs. The association with prognosis was investigated and public data sets were used to corroborate the findings. Except for IGHE and IGHD, mRNAs encoding heavy chains were generally detected at substantial levels and correlated with other immune-related genes. High IGHGT mRNA was associated with factors related to poor prognosis such as estrogen receptor negativity, HER2 amplification, and high grade, whereas high IGHA2 mRNA levels were primarily associated with lower age at diagnosis. High IGHA2 and IGJ mRNA levels were associated with a more favorable prognosis both in univariable and multivariable Cox models. When adjusting for other prognostic factors, high IGHG1 mRNA levels were positively associated with improved prognosis. To our knowledge, these results are the first to demonstrate that expression of individual Ig class types has prognostic implications in breast cancer.
Molecular modeling of antibodies for the treatment of TNF alpha-related immunological diseases
PHARMACOLOGY RESEARCH & PERSPECTIVES
Authors: Pierri, Ciro Leonardo; Bossis, Fabrizio; Punzi, Giuseppe; De Grassi, Anna; Cetrone, Michela; Parisi, Giovanni; Tricarico, Domenico
Abstract
Therapeutic monoclonal antibodies (mAbs) have high efficacy in treating TNF alpha-related immunological diseases. Other than neutralizing TNF alpha, these IgG1 antibodies exert Fc receptor-mediated effector functions such as the complement-dependent cytotoxicity (CDC) and antibody-dependent cell cytotoxicity (ADCC). The crystallizable fragment (Fc) of these IgG1 contains a single glycosylation site at Asn 297/300 that is essential for the CDC and ADCC. Glycosylated antibodies lacking core fucosylation showed an improved ADCC. However, no structural data are available concerning the ligand-binding interaction of these mAbs used in TNF alpha-related diseases and the role of the fucosylation. We therefore used comparative modeling for generating complete 3D mAb models that include the antigen-binding fragment (Fab) portions of infliximab, complexed with TNFa (4G3Y. pdb), the Fc region of the human IGHG1 fucosylated (3SGJ) and afucosylated (3SGK) complexed with the Fc receptor subtype Fc gamma RIIIA, and the Fc region of a murine immunoglobulin (1IGT). After few thousand steps of energy minimization on the resulting 3D mAb models, minimized final models were used to quantify interactions occurring between FccRIIIA and the fucosylated/afucosylated Fc fragments. While fucosylation does not affect Fab-TNF alpha interactions, we found that in the absence of fucosylation the Fc-mAb domain and Fc gamma RIIIA are closer and new strong interactions are established between G129 of the receptor and S301 of the Chimera 2 Fc-mAb; new polar interactions are also established between the Chimera 2 Fc residues Y299, N300, and S301 and the Fc gamma RIIIA residues K128, G129, R130, and R155. These data help to explain the reduced ADCC observed in the fucosylated mAbs suggesting the specific AA residues involved in binding interactions.